Pub Date : 2021-11-03DOI: 10.1109/icic54025.2021.9632971
{"title":"ICIC 2021 Committees","authors":"","doi":"10.1109/icic54025.2021.9632971","DOIUrl":"https://doi.org/10.1109/icic54025.2021.9632971","url":null,"abstract":"","PeriodicalId":189541,"journal":{"name":"2021 Sixth International Conference on Informatics and Computing (ICIC)","volume":"170 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131886238","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-11-03DOI: 10.1109/ICIC54025.2021.9632884
Murahartawaty Arief, Mustafa Bin Matt Deris
In the Covid-19 pandemic situation, the e-commerce platform has significant data of product reviews in real-time. Businesses need rating and review systems to immediately expose their consumers' feelings about their products and services and use every volume of data to strengthen their competitive strategies. Amazon is one platform that can provide a vast quantity of product review data. Unfortunately, data from product reviews are typically unstructured and unmanageable. Therefore, this experimental study observed text preprocessing impact to process unstructured product review data using sentiment classifier Decision Tree, Naïve Bayes, and Support Vector Machine (SVM) with better accuracy. The SVM performed higher evaluation model performance, with an accuracy of 88,13%, but the Naïve Bayes classifier has minimum execution time. Furthermore, the experimental result using our approach TF-IDF for feature extraction may significantly improve classification accuracy. As a result, our approach reveals that a good text preprocessing sequence is critical to the classifier's prediction performance for unstructured product review data.
{"title":"Text Preprocessing Impact for Sentiment Classification in Product Review","authors":"Murahartawaty Arief, Mustafa Bin Matt Deris","doi":"10.1109/ICIC54025.2021.9632884","DOIUrl":"https://doi.org/10.1109/ICIC54025.2021.9632884","url":null,"abstract":"In the Covid-19 pandemic situation, the e-commerce platform has significant data of product reviews in real-time. Businesses need rating and review systems to immediately expose their consumers' feelings about their products and services and use every volume of data to strengthen their competitive strategies. Amazon is one platform that can provide a vast quantity of product review data. Unfortunately, data from product reviews are typically unstructured and unmanageable. Therefore, this experimental study observed text preprocessing impact to process unstructured product review data using sentiment classifier Decision Tree, Naïve Bayes, and Support Vector Machine (SVM) with better accuracy. The SVM performed higher evaluation model performance, with an accuracy of 88,13%, but the Naïve Bayes classifier has minimum execution time. Furthermore, the experimental result using our approach TF-IDF for feature extraction may significantly improve classification accuracy. As a result, our approach reveals that a good text preprocessing sequence is critical to the classifier's prediction performance for unstructured product review data.","PeriodicalId":189541,"journal":{"name":"2021 Sixth International Conference on Informatics and Computing (ICIC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128658046","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-11-03DOI: 10.1109/ICIC54025.2021.9632999
Lista Meria, Q. Aini, Nuke Puji Lestari Santoso, Untung Raharja, S. Millah
The rapid development of information technology opens up opportunities for the development of better services in the field of education. With internet services, the information that students have is not limited by space, place, time and distance. Created a network that does not have a service provider acting as a central authority and users have access to control information that avoids the presence of third parties. An alternative solution to today’s centralized networked learning systems uses the efficient and distributed Decentralized Online Educations (DOE). This platform uses blockchain technology as an educational data storage system that is used to solve academic privacy issues in a decentralized system. This study, created a manageable and auditable access control framework for Decentralized Online Education (DOE) using blockchain technology to discuss the definition of privacy policy.
{"title":"Management of Access Control for Decentralized Online Educations using Blockchain Technology","authors":"Lista Meria, Q. Aini, Nuke Puji Lestari Santoso, Untung Raharja, S. Millah","doi":"10.1109/ICIC54025.2021.9632999","DOIUrl":"https://doi.org/10.1109/ICIC54025.2021.9632999","url":null,"abstract":"The rapid development of information technology opens up opportunities for the development of better services in the field of education. With internet services, the information that students have is not limited by space, place, time and distance. Created a network that does not have a service provider acting as a central authority and users have access to control information that avoids the presence of third parties. An alternative solution to today’s centralized networked learning systems uses the efficient and distributed Decentralized Online Educations (DOE). This platform uses blockchain technology as an educational data storage system that is used to solve academic privacy issues in a decentralized system. This study, created a manageable and auditable access control framework for Decentralized Online Education (DOE) using blockchain technology to discuss the definition of privacy policy.","PeriodicalId":189541,"journal":{"name":"2021 Sixth International Conference on Informatics and Computing (ICIC)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116716186","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-11-03DOI: 10.1109/ICIC54025.2021.9632990
Lukman Rosyidi, Warsono, M. S. Romadhon
Vaccination is still one of the most reliable ways to deal with pandemic outbreak. The vaccine distribution process involves a lot of data from various parties, which must be maintained its validity and security to provide a basis for making the right public health decisions. Blockchain technology can be a solution to secure data and build trust between parties because data do not only hold on one party but distributed to all parties with cryptographic security. This study aims to design an architectural model of blockchain system for supervision of vaccine distribution by taking Indonesia as the case of implementation. It uses analytical study to identify the possible problems and the stakeholders involved. As the result, it proposed the type of blockchain and the architecture that are most suitable for use in the supervision system. By making valid data readily available to policy and decision makers, it can facilitate evidence-based decisions on public health.
{"title":"Design of Blockchain Implementation for Supervision of Vaccine Distribution: Indonesia Case","authors":"Lukman Rosyidi, Warsono, M. S. Romadhon","doi":"10.1109/ICIC54025.2021.9632990","DOIUrl":"https://doi.org/10.1109/ICIC54025.2021.9632990","url":null,"abstract":"Vaccination is still one of the most reliable ways to deal with pandemic outbreak. The vaccine distribution process involves a lot of data from various parties, which must be maintained its validity and security to provide a basis for making the right public health decisions. Blockchain technology can be a solution to secure data and build trust between parties because data do not only hold on one party but distributed to all parties with cryptographic security. This study aims to design an architectural model of blockchain system for supervision of vaccine distribution by taking Indonesia as the case of implementation. It uses analytical study to identify the possible problems and the stakeholders involved. As the result, it proposed the type of blockchain and the architecture that are most suitable for use in the supervision system. By making valid data readily available to policy and decision makers, it can facilitate evidence-based decisions on public health.","PeriodicalId":189541,"journal":{"name":"2021 Sixth International Conference on Informatics and Computing (ICIC)","volume":"49 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114441305","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-11-03DOI: 10.1109/ICIC54025.2021.9632968
Albertus Dwiyoga Widiantoro, FX Hendra Prasetya, Bernardinus Harnadi
This study has an objective to examine the acceptance of mobile payment services by employing a modified ECM model with Trust. Several related studies on e-commerce and mobile payment have been investigated to derive important variables which can be employed on a wanted model. The model expresses the effect of customers' trust on their satisfaction in using mobile payment services and their continuance intention in using it. The online questionnaires constructed based on the proposed model were distributed to mobile payment users to gather their perceptions in using it. The 338 questionnaires gathered were analyzed statistically by SEM to test the hypotheses of the study. The results of the analysis reveal that customers' trust is a significant variable to enhance customers' satisfaction and continuance intention in using mobile payment services. Other output refer that Trust and Confirmation have a direct effect on the Perceived Usefulness of the services. Furthermore, both Perceived Usefulness and Trust will make consumers feel satisfied and tend to continuance their intention in using mobile payment services. This study contributes to financial service providers in delivering an obviousness, how was the trust of services can make consumers feel satisfy and use the service continually.
{"title":"Examining the Adoption of Mobile Payment Service: Expectation Confirmation Model with Trust","authors":"Albertus Dwiyoga Widiantoro, FX Hendra Prasetya, Bernardinus Harnadi","doi":"10.1109/ICIC54025.2021.9632968","DOIUrl":"https://doi.org/10.1109/ICIC54025.2021.9632968","url":null,"abstract":"This study has an objective to examine the acceptance of mobile payment services by employing a modified ECM model with Trust. Several related studies on e-commerce and mobile payment have been investigated to derive important variables which can be employed on a wanted model. The model expresses the effect of customers' trust on their satisfaction in using mobile payment services and their continuance intention in using it. The online questionnaires constructed based on the proposed model were distributed to mobile payment users to gather their perceptions in using it. The 338 questionnaires gathered were analyzed statistically by SEM to test the hypotheses of the study. The results of the analysis reveal that customers' trust is a significant variable to enhance customers' satisfaction and continuance intention in using mobile payment services. Other output refer that Trust and Confirmation have a direct effect on the Perceived Usefulness of the services. Furthermore, both Perceived Usefulness and Trust will make consumers feel satisfied and tend to continuance their intention in using mobile payment services. This study contributes to financial service providers in delivering an obviousness, how was the trust of services can make consumers feel satisfy and use the service continually.","PeriodicalId":189541,"journal":{"name":"2021 Sixth International Conference on Informatics and Computing (ICIC)","volume":"101 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123169431","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-11-03DOI: 10.1109/ICIC54025.2021.9632883
Eka Miranda, Mediana Aryuni, Richard Richard, Adrian Giovanny Tanara
Telemedicine refers to remote clinical services. Telemedicine technology was frequently used for consultation and other clinical services that could be delivered remotely. This research aimed to develop a health care mobile application for sub-district primary health care. This application could be considered as an additional channel for health care services to relate healthcare personnel and patients without boundaries. The main features were developed namely Registration, Consultation, Visiting schedule, Referral hospital and News. System Development Life Cycle (SDLC) waterfall was performed as an application development method. Evaluation based on the User Experience Questionnaire (UEQ) method was performed to evaluate the application result. User experience evaluation based on UEQ approach was revealed the acceptance of users for this application on attractive and novelty aspect shown positive result but on the other hand negative result shown for perspicuity, efficiency, dependability and stimulation aspects.
{"title":"Health Care Mobile Application Development for Sub-District Primary Health Care: How and Why","authors":"Eka Miranda, Mediana Aryuni, Richard Richard, Adrian Giovanny Tanara","doi":"10.1109/ICIC54025.2021.9632883","DOIUrl":"https://doi.org/10.1109/ICIC54025.2021.9632883","url":null,"abstract":"Telemedicine refers to remote clinical services. Telemedicine technology was frequently used for consultation and other clinical services that could be delivered remotely. This research aimed to develop a health care mobile application for sub-district primary health care. This application could be considered as an additional channel for health care services to relate healthcare personnel and patients without boundaries. The main features were developed namely Registration, Consultation, Visiting schedule, Referral hospital and News. System Development Life Cycle (SDLC) waterfall was performed as an application development method. Evaluation based on the User Experience Questionnaire (UEQ) method was performed to evaluate the application result. User experience evaluation based on UEQ approach was revealed the acceptance of users for this application on attractive and novelty aspect shown positive result but on the other hand negative result shown for perspicuity, efficiency, dependability and stimulation aspects.","PeriodicalId":189541,"journal":{"name":"2021 Sixth International Conference on Informatics and Computing (ICIC)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125548703","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-11-03DOI: 10.1109/ICIC54025.2021.9632887
M. Rusandi, E. Sutoyo, Vandha Widartha
As a country with much natural wealth, Indonesia tries to utilize beach tourism in Bali to attract tourists. One of the websites in the tourism sector that is widely used by the world community today is TripAdvisor. Through TripAdvisor, tourists can find information about the beaches in Bali. Each beach has reviews written by tourists who have visited. However, reviews on TripAdvisor are unreliable and even biased. Therefore, Sentiment Analysis of Beach Reviews in Bali on the TripAdvisor Website can be a solution. This study uses real datasets from the TripAdvisor website in tourist reviews of the five most favorite beaches in Bali: Seminyak, Nusa Dua, Double Six, Kelingking, and Canggu. The research used the Convolutional Neural Network (CNN) architecture to produce positive and negative label predictions. The sentiment analysis results are visualized into a graph that describes tourist opinions on the five most favorite beaches in Bali. This study also measures the performance of the CNN model in making predictions. The accuracy obtained is 88% on Seminyak beach, 90% on Nusa Dua beach, 90% on Double Six beach, 87% on Kelingking Beach, and 85% on Canggu Beach. The CNN model performance measurement also produces precision, recall, and ROC curve on each beach.
{"title":"Convolutional Neural Network for Predicting Sentiment: Case Study in Tourism","authors":"M. Rusandi, E. Sutoyo, Vandha Widartha","doi":"10.1109/ICIC54025.2021.9632887","DOIUrl":"https://doi.org/10.1109/ICIC54025.2021.9632887","url":null,"abstract":"As a country with much natural wealth, Indonesia tries to utilize beach tourism in Bali to attract tourists. One of the websites in the tourism sector that is widely used by the world community today is TripAdvisor. Through TripAdvisor, tourists can find information about the beaches in Bali. Each beach has reviews written by tourists who have visited. However, reviews on TripAdvisor are unreliable and even biased. Therefore, Sentiment Analysis of Beach Reviews in Bali on the TripAdvisor Website can be a solution. This study uses real datasets from the TripAdvisor website in tourist reviews of the five most favorite beaches in Bali: Seminyak, Nusa Dua, Double Six, Kelingking, and Canggu. The research used the Convolutional Neural Network (CNN) architecture to produce positive and negative label predictions. The sentiment analysis results are visualized into a graph that describes tourist opinions on the five most favorite beaches in Bali. This study also measures the performance of the CNN model in making predictions. The accuracy obtained is 88% on Seminyak beach, 90% on Nusa Dua beach, 90% on Double Six beach, 87% on Kelingking Beach, and 85% on Canggu Beach. The CNN model performance measurement also produces precision, recall, and ROC curve on each beach.","PeriodicalId":189541,"journal":{"name":"2021 Sixth International Conference on Informatics and Computing (ICIC)","volume":"447 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127609490","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-11-03DOI: 10.1109/ICIC54025.2021.9632969
Dennis Michael, Erick Dazki, Handri Santoso, R. E. Indrajit
Many companies have used the Scrum framework for system and product development. In the implementation of the scrum framework, we often encounter obstacles and challenges in the field, one of them is a sense of belonging to the team’s work itself. The scrum team should act on their own and already know what to do on each sprint. They are already committed to what they think can be accomplished and can be helped by feeling ownership of the work they do each sprint. If the Scrum team is committed to the work to be carried out, over time it will certainly foster a sense of ownership within the Scrum team itself, including satisfaction with the results they have achieved. The most important thing to a Scrum Team is to remember, that the team is to take ownership of themselves. They are responsible for their own accountability, If they are to be truly self-directed. A lot of research has been done to determine the maturity level of a scrum team with their respective methods such as the Scrum Maturity Model and Agile Maturity Model but not related to team ownership.
{"title":"Scrum Team Ownership Maturity Analysis on Achieving Goal","authors":"Dennis Michael, Erick Dazki, Handri Santoso, R. E. Indrajit","doi":"10.1109/ICIC54025.2021.9632969","DOIUrl":"https://doi.org/10.1109/ICIC54025.2021.9632969","url":null,"abstract":"Many companies have used the Scrum framework for system and product development. In the implementation of the scrum framework, we often encounter obstacles and challenges in the field, one of them is a sense of belonging to the team’s work itself. The scrum team should act on their own and already know what to do on each sprint. They are already committed to what they think can be accomplished and can be helped by feeling ownership of the work they do each sprint. If the Scrum team is committed to the work to be carried out, over time it will certainly foster a sense of ownership within the Scrum team itself, including satisfaction with the results they have achieved. The most important thing to a Scrum Team is to remember, that the team is to take ownership of themselves. They are responsible for their own accountability, If they are to be truly self-directed. A lot of research has been done to determine the maturity level of a scrum team with their respective methods such as the Scrum Maturity Model and Agile Maturity Model but not related to team ownership.","PeriodicalId":189541,"journal":{"name":"2021 Sixth International Conference on Informatics and Computing (ICIC)","volume":"327 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132947589","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-11-03DOI: 10.1109/ICIC54025.2021.9632901
Zaenal Mutaqin Subekti, Suhadi Suhadi, R. Ramdani, Amat Suroso, Rudi Budi Agung, Miftakhus Surur
Car safety when the owner parked his vehicle on the street or at home is very at risk of theft, if the vehicle does not have a double lock it will result in the car being stolen without the owner’s knowledge. Car theft is caused by several factors, the main factor is the inadequate car security system, so that the car is turned off if there is theft, sometimes the car alarm does not sound. While the remote control is generally only used to open / close doors and still uses infrared sensors which have a limited range. The car security early warning system is a warning / early detection system to see the condition of the car and information on the parking position (idle) starting from the position of the car theft until the vehicle owner finds out quickly and accurately. In previous research, the use of NodeMCU as a motorized vehicle security system was visually connected to a smartphone device. NodeMCU as an Arduino board that has the ability to access Wireless Fidelity. Passive InfraRed sensor is a sensor that is used to detect infrared rays and only receives infrared radiation from the outside, so that the movement of objects can be known. The purpose of this study is to design a smartphone-based car early warning system. Based on the results of testing the tool made, the accuracy of the system used is 90% which is effective for dealing with the movement of parked cars from theft.
{"title":"Internet of Things-based Early Warning Car Theft Security System Using Smartphones","authors":"Zaenal Mutaqin Subekti, Suhadi Suhadi, R. Ramdani, Amat Suroso, Rudi Budi Agung, Miftakhus Surur","doi":"10.1109/ICIC54025.2021.9632901","DOIUrl":"https://doi.org/10.1109/ICIC54025.2021.9632901","url":null,"abstract":"Car safety when the owner parked his vehicle on the street or at home is very at risk of theft, if the vehicle does not have a double lock it will result in the car being stolen without the owner’s knowledge. Car theft is caused by several factors, the main factor is the inadequate car security system, so that the car is turned off if there is theft, sometimes the car alarm does not sound. While the remote control is generally only used to open / close doors and still uses infrared sensors which have a limited range. The car security early warning system is a warning / early detection system to see the condition of the car and information on the parking position (idle) starting from the position of the car theft until the vehicle owner finds out quickly and accurately. In previous research, the use of NodeMCU as a motorized vehicle security system was visually connected to a smartphone device. NodeMCU as an Arduino board that has the ability to access Wireless Fidelity. Passive InfraRed sensor is a sensor that is used to detect infrared rays and only receives infrared radiation from the outside, so that the movement of objects can be known. The purpose of this study is to design a smartphone-based car early warning system. Based on the results of testing the tool made, the accuracy of the system used is 90% which is effective for dealing with the movement of parked cars from theft.","PeriodicalId":189541,"journal":{"name":"2021 Sixth International Conference on Informatics and Computing (ICIC)","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125141455","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-11-03DOI: 10.1109/icic54025.2021.9632984
{"title":"[ICIC 2021 Back Cover]","authors":"","doi":"10.1109/icic54025.2021.9632984","DOIUrl":"https://doi.org/10.1109/icic54025.2021.9632984","url":null,"abstract":"","PeriodicalId":189541,"journal":{"name":"2021 Sixth International Conference on Informatics and Computing (ICIC)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114455692","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
京公网安备 11010802042870号
京ICP备2023020795号-1
扫码关注我们
求助内容：
应助结果提醒方式：